The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
BDNF Enhances Quantal Neurotransmitter Release and Increases the Number of Docked Vesicles at the Active Zones of Hippocampal Excitatory Synapses
Open accessAbstract
Brain-derived neurotrophic factor (BDNF) is emerging as a key mediator of activity-dependent modifications of synaptic strength in the CNS. We investigated the hypothesis that BDNF enhances quantal neurotransmitter release by modulating the distribution of synaptic vesicles within presynaptic terminals using organotypic slice cultures of postnatal rat hippocampus. BDNF specifically increased the number of docked vesicles at the active zone of excitatory synapses on CA1 dendritic spines, with only a small increase in active zone size. In agreement with the hypothesis that an increased docked vesicle density enhances quantal neurotransmitter release, BDNF increased the frequency, but not the amplitude, of AMPA receptor-mediated miniature EPSCs (mEPSCs) recorded from CA1 pyramidal neurons in hippocampal slices. Synapse number, independently estimated from dendritic spine density and electron microscopy measurements, was also increased after BDNF treatment, indicating that the actions of BNDF on mEPSC frequency can be partially attributed to an increased synaptic density. Our results further suggest that all these actions were mediated via tyrosine kinase B (TrkB) receptor activation, established by inhibition of plasma membrane tyrosine kinases with K-252a. These results provide additional evidence of a fundamental role of the BDNF–TrkB signaling cascade in synaptic transmission, as well as in cellular models of hippocampus-dependent learning and memory.
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Cites
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
NEUROTROPHINS AND SYNAPTIC PLASTICITY
McAllister, A. K., Katz, L. C., & Lo, D. C. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.295 · Cited by 1,337
Patterson, S. L., Abel, T., Deuel, T. A. S., Martin, K. C., Rose, J. C., & Kandel, E. R. (1996) · Neuron · doi:10.1016/s0896-6273(00)80140-3 · Cited by 1,233
Figurov, A., Pozzo-Miller, L. D., Olafsson, P., Wang, T., & Lu, B. (1996) · Nature · doi:10.1038/381706a0 · Cited by 1,106
Self-citationQuantitative ultrastructural analysis of hippocampal excitatory synapses
Schikorski, T., & Stevens, C. F. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05858.1997 · Cited by 997
Levine, E. S., Dreyfus, C. F., Black, I. B., & Plummer, M. R. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.17.8074 · Cited by 611
Levine, E. S., Crozier, R. A., Black, I. B., & Plummer, M. R. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.17.10235 · Cited by 412
Cited by
The yin and yang of neurotrophin action
Lu, B., Pang, P. T., & Woo, N. H. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1726 · Cited by 1,356
Cleavage of proBDNF by tPA/Plasmin Is Essential for Long-Term Hippocampal Plasticity
Pang, P. T., Teng, H. K., Zaitsev, E., Woo, N. T., Sakata, K., Zhen, S., Teng, K. K., Yung, W.-H., Hempstead, B. L., & Lu, B. (2004) · Science · doi:10.1126/science.1100135 · Cited by 1,136
TrkB signalling pathways in LTP and learning
Minichiello, L. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2738 · Cited by 1,055
Postsynaptic BDNF‐TrkB signaling in synapse maturation, plasticity, and disease
Yoshii, A., & Constantine‐Paton, M. (2010) · Developmental Neurobiology · doi:10.1002/dneu.20765 · Cited by 744
Bekinschtein, P., Cammarota, M., Igaz, L. M., Bevilaqua, L. R. M., Izquierdo, I., & Medina, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.025 · Cited by 633
Metadata
- Authors
- Tyler, W. J., & Pozzo-Miller, L. D.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2001-06-15
- Volume
- 21
- Issue
- 12
- Pages
- 4249-4258
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2146493911
- Cited by
- 520
- References
- 7
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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